Wiki source code of Access to the Fenix Infrastructure
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1.1 | 1 | === How to get access to resources? === |
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23.1 | 3 | Access to resources of the Fenix Infrastructure is **free of charge** and is provided through an **excellence-based** procedure, following the [[peer review principles>>https://prace-ri.eu/hpc-access/project-access/project-access-the-peer-review-process/]] which have been established by [[PRACE>>url:http://www.prace-ri.eu/]]. The respective allocation processes for available resources are handled by the user communities, and resources are provided to European scientists from all scientific domains. |
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23.1 | 5 | [[image:image-20220408085758-1.png||style="float:right"]]All details on access are published on the Fenix website: [[https:~~/~~/fenix-ri.eu/access>>https://fenix-ri.eu/access]] |
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23.1 | 7 | More information regarding the allocation process for neuroscience community are available in this Collab under [[Allocation process - resources for neuroscience projects>>doc:Collabs.fenix-icei.2\. Fenix services and resources.WebHome]]. |
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8.1 | 9 | ---- |
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15.1 | 11 | === Which resources are available? === |
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23.1 | 13 | The Fenix website provides an overview of which resources are available at which of the current five hosting sites: [[https:~~/~~/fenix-ri.eu/infrastructure/resources/available-resources>>https://fenix-ri.eu/infrastructure/resources/available-resources]] |
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15 | The following different types of resources are offered ([[more info>>https://fenix-ri.eu/infrastructure/services]]): | ||
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17 | * **Scalable Computing Services**: Massively parallel HPC systems that are suitable for highly parallel brain simulations or for high-throughput data analysis tasks. | ||
18 | * **Interactive Computing Services**: Quick access to single compute servers to analyse and visualise data interactively, or to connect to running simulations, which are using the scalable compute services. | ||
19 | * **Virtual Machine Services**: Service for deploying virtual machines (VMs) in a stable and controlled environment that is, for example, suitable for deploying platform services like the HBP Collaboratory, image services or neuromorphic computing front-end services. | ||
20 | * **Active Data Repositories**: Site-local data repositories close to computational and/or visualization resources that are used for storing temporary replicas of data sets. In the near future they will typically be realised using parallel file systems. | ||
21 | * **Archival Data Repositories**: Federated data storage, optimized for capacity, reliability and availability that is used for long-term storage of large data sets which cannot be easily regenerated. These data stores allow the sharing of data with other researchers inside and outside of HBP |